ReviewOncology reports2012
Emerging biomarkers of prostate cancer (Review).
Review in Oncology reports, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Metabolomics and Proteomics in Prostate Cancer Research: Overview, Analytical Techniques, Data Analysis, and Recent Clinical Applications.International journal of molecular sciences · 2024Review
- Multiplexed Prostate Cancer Companion Diagnostic Devices.Sensors (Basel, Switzerland) · 2021Review
- Clinical proteomics for prostate cancer: understanding prostate cancer pathology and protein biomarkers for improved disease management.Clinical proteomics · 2020Review
- An Update on the Prognostic and Predictive Serum Biomarkers in Metastatic Prostate Cancer.Diagnostics (Basel, Switzerland) · 2020Review
- Analysis of Differential Expression of microRNAs and Their Target Genes in Prostate Cancer: A Bioinformatics Study on Microarray Gene Expression Data.International journal of molecular and cellular medicine · 2019Article
- Molecular analyses of prostate tumors for diagnosis of malignancy on fine-needle aspiration biopsies.Oncotarget · 2017Article
- Identification of Transcription Factor YY1 as a Regulator of a Prostate Cancer-Specific Pathway Using Proteomic Analysis.Journal of Cancer · 2017Article
- The Role of Proteomics in Biomarker Development for Improved Patient Diagnosis and Clinical Decision Making in Prostate Cancer.Diagnostics (Basel, Switzerland) · 2016Review
- Overexpression and purification of folded domain of prostate cancer related proteins MSMB and PSA.Molecular biology reports · 2016Article
- The αvβ6 integrin is transferred intercellularly via exosomes.The Journal of biological chemistry · 2015Article
- Serum fucosylated prostate-specific antigen (PSA) improves the differentiation of aggressive from non-aggressive prostate cancers.Theranostics · 2015Article
- ChIP-seq analysis of androgen receptor in LNCaP cell line.Molecular biology reports · 2014Article
- Evaluation of 12-lipoxygenase (12-LOX) and plasminogen activator inhibitor 1 (PAI-1) as prognostic markers in prostate cancer.BioMed research international · 2014Article
- Evaluation of prediction models for the staging of prostate cancer.BMC medical informatics and decision making · 2013Article
- Molecular signatures in urologic tumors.International journal of molecular sciences · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Prostate cancer progression involves activation of signaling pathways controlling cell proliferation, apoptosis, anoikis, angiogenesis and metastasis. The current PSA-based test for the diagnosis of prostate cancer lacks sensitivity and specificity, resulting in missed diagnoses and unnecessary biopsies. Intense research efforts to identify serum and tissue biomarkers will expand the opportunities to understand the functional activation of cancer-related pathways and consequently lead to molecular therapeutic targeting towards inhibition of tumor growth. Current literature describes multiple biomarkers that indicate the properties of prostate cancer including its presence, stage, metastatic potential and prognosis. Used singly, assays detecting these biomarkers have their respective shortcomings. Several recent studies evaluating the clinical utilization of multiple markers show promising results in improving prostate cancer profiling. This review discusses the current understanding of biomarker signature cluster-based approaches for the diagnosis and therapeutic response of prostate cancer derived from panels of biomarker tests that provide a selective molecular signature characteristic of the tumor. As these signatures are robustly defined and their pathways are exhaustively dissected, prostate cancer can be more accurately diagnosed, characterized, staged and targeted with inhibitory antitumor agents. The growing promise surrounding the recent evidence in identifying and utilizing such biomarker panels, will lead to improvement in cancer prognosis and management of the therapeutic response of prostate cancer patients.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.